In terms of testing transferred data, what practice ensures integrity?

Ensuring the integrity of transferred data is crucial for maintaining accuracy and reliability in systems that depend on this data. Testing data at multiple stages serves to verify that the data remains intact, accurate, and uncorrupted throughout the entire transfer process. By implementing this practice, you can identify potential issues or discrepancies as they occur, rather than waiting until the final output is produced.

Testing throughout various stages allows for earlier detection and correction of errors, which can significantly reduce the overall risk and impact of data integrity issues. This approach enables a systematic evaluation of data quality, ensuring that each phase of data handling meets the required standards and supports the integrity of the entire process. In contrast, limiting checks to only one point, whether it be after the transfer or solely at the final output, can leave gaps in accountability and increase the likelihood of undetected errors persisting throughout the system.